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12-1354-PHI

Tuesday, July 3, 2012

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Occupational Employment and Wages in Scranton—Wilkes-Barre – May 2011

Workers in the Scranton—Wilkes-Barre Metropolitan Statistical Area had an average (mean) hourly wage of $18.14 in May 2011, roughly 17 percent below the nationwide average of $21.74, according to the U.S. Bureau of Labor Statistics. Sheila Watkins, the Bureau’s regional commissioner, noted that, after testing for statistical significance, wages in the local area were significantly lower than their respective national averages in 18 of the 22 major occupational groups, including arts, design, entertainment, sports, and media; business and financial operations; and healthcare practitioners and technical. (See table A and box note at end of release.)

Table A. Occupational employment and wages by major occupational group, United States and the Scranton—Wilkes-Barre Metropolitan Statistical Area, and measures of statistical significance, May 2011
Major occupational group Percent of total employment Mean hourly wage
United States Scranton—Wilkes-Barre United States Scranton—Wilkes-Barre Percent difference(1)

Total, all occupations

100.0
100.0
$21.74
18.14*
-17

Management

4.8
3.0*
51.64
41.22*
-20

Business and financial operations

4.8
3.1*
33.05
25.81*
-22

Computer and mathematical

2.7
1.4*
37.85
30.38*
-20

Architecture and engineering

1.8
1.2*
37.08
32.80*
-12

Life, physical, and social science

0.8
0.4*
32.44
24.78*
-24

Community and social service

1.5
2.3*
21.07
16.99*
-19

Legal

0.8
0.6*
47.30
32.47*
-31

Education, training, and library

6.6
5.9*
24.46
24.74
1

Arts, design, entertainment, sports, and media

1.3
1.0*
25.89
18.33*
-29

Healthcare practitioners and technical

5.9
6.7*
34.97
29.32*
-16

Healthcare support

3.1
3.7*
13.16
12.87
-2

Protective service

2.5
2.3*
20.54
17.99*
-12

Food preparation and serving related

8.7
8.0*
10.30
9.78*
-5

Building and grounds cleaning and maintenance

3.3
3.0*
12.29
11.73*
-5

Personal care and service

2.8
2.9
11.84
11.24*
-5

Sales and related

10.6
11.1
18.04
15.32*
-15

Office and administrative support

16.7
17.4*
16.40
14.79*
-10

Farming, fishing, and forestry

0.3
0.0*
11.68
15.34*
31

Construction and extraction

3.9
3.9
21.46
20.93
-2

Installation, maintenance, and repair

3.9
4.1
20.86
18.91*
-9

Production

6.5
8.7*
16.45
15.84*
-4

Transportation and material moving

6.7
9.4*
15.96
15.11*
-5

* The percent share of employment or mean hourly wage for this area is significantly different from the national average of all areas at the 90-percent confidence level.

Footnotes:
(1) A positive percent difference measures how much the mean wage in Scranton—Wilkes-Barre is above the national mean wage, while a negative percent difference reflects a lower wage.

When compared to the nationwide distribution, Scranton employment was more highly concentrated in six occupational groups including transportation and material moving, production, and healthcare practitioners and technical. Conversely, 12 groups had employment shares significantly below their national representation; these groups included management, business and financial operations, and food preparation and serving related.

One occupational group—production—was chosen to illustrate the diversity of data available for any of the 22 major occupational categories. Scranton had 21,830 jobs in production, accounting for 8.7 percent of local area employment, significantly above the 6.5-percent share nationally. The average hourly wage for this occupational group locally was $15.84, measurably below the national wage of $16.45.

With employment of 4,080, team assemblers was the largest occupation within the production group, followed by packaging and filling machine operators and tenders (1,750) and production worker helpers (1,560). Among the higher-paying jobs were first-line supervisors of production and operating workers, with a mean hourly wage of $24.88, and machinists, with a wage of $18.96. At the lower end of the wage scale were laundry and dry cleaning workers ($9.49) and bakers ($11.59). (Detailed occupational data for production are presented in table 1; for a complete listing of detailed occupations available go to www.bls.gov/oes/current/oes_42540.htm.)

Location quotients allow us to explore the occupational make-up of a metropolitan area by comparing the composition of jobs in an area relative to the national average. (See table 1.) For example, a location quotient of 2.0 indicates that an occupation accounts for twice the share of employment in the area as it does nationally. In Scranton, above-average concentrations of employment were found in many of the occupations within the production group. For instance, packaging and filling machine operators and tenders and printing press operators were employed at about two-and-a-half times the national rate in Scranton, and team assemblers, at over twice the U.S. rate. In contrast, first-line supervisors of production and operating workers had a location quotient of 1.1 in Scranton, indicating that this particular occupation’s local and national employment shares were similar.

These statistics are from the Occupational Employment Statistics (OES) survey, a federal-state cooperative program between BLS and State Workforce Agencies, in this case, the Pennsylvania Department of Labor and Industry. The OES survey provides estimates of employment and hourly and annual wages for wage and salary workers in 22 major occupational groups and about 800 detailed occupations for the nation, states, metropolitan statistical areas, metropolitan divisions, and nonmetropolitan areas.

OES wage and employment data for the 22 major occupational groups in the Scranton—Wilkes-Barre Metropolitan Statistical Area were compared to their respective national averages based on statistical significance testing. Only those occupations with wages or employment shares above or below the national wage or share after testing for significance at the 90-percent confidence level meet the criteria.

NOTE: A value that is statistically different from another does not necessarily mean that the difference has economic or practical significance. Statistical significance is concerned with the ability to make confident statements about a universe based on a sample. It is entirely possible that a large difference between two values is not significantly different statistically, while a small difference is, since both the size and heterogeneity of the sample affect the relative error of the data being tested.

Technical Note

The Occupational Employment Statistics (OES) survey is a semiannual mail survey measuring occupational employment and wage rates for wage and salary workers in nonfarm establishments in the United States. Guam, Puerto Rico, and the Virgin Islands are also surveyed, but their data are not included in the national estimates. OES estimates are constructed from a sample of about 1.2 million establishments. Forms are mailed to approximately 200,000 establishments in May and November of each year for a 3-year period. The nationwide response rate for the May 2011 survey was 77.3 percent based on establishments and 73.3 percent based on employment. May 2011 estimates are based on responses from six semiannual panels collected over a 3-year period: May 2011, November 2010, May 2010, November 2009, May 2009, and November 2008. The sample in the Scranton—Wilkes-Barre Metropolitan Statistical Area included 2,579 establishments with a response rate of 76 percent. For more information about OES concepts and methodology, go to www.bls.gov/news.release/ocwage.tn.htm.

The May 2010 OES estimates mark the first set of estimates based in part on data collected using the 2010 Standard Occupational Classification (SOC) system. Nearly all the occupations in this release are 2010 SOC occupations; however, some are not. The May 2012 OES data will reflect the full set of detailed occupations in the 2010 SOC. For a list of all occupations, including 2010 SOC occupations, and how data collected on two structures were combined, see the OES Frequently Asked Questions online at www.bls.gov/oes/oes_ques.htm#Ques41.

Area definitions
The substate area data published in this release reflect the standards and definitions established by the U.S. Office of Management and Budget.

The Scranton—Wilkes-Barre Metropolitan Statistical Area (MSA) includes Lackawanna, Luzerne, and Wyoming Counties in Pennsylvania.

Additional information
OES data are available on our regional web page at www.bls.gov/ro3/. If you have additional questions, you can contact the Mid-Atlantic Information Office at (215) 597-3282 from 8:30 a.m. to 12:00 p.m. and 1:00 p.m. to 3:30 p.m. ET. Information in this release will be made available to sensory impaired individuals upon request. Voice phone:  202-691-5200; TDD message referral phone number: 1-800-877-8339.

Table 1. Employment and wage data from the Occupational Employment Statistics survey, by occupation, Scranton—Wilkes-Barre Metropolitan Statistical Area, May 2010
Occupation(1) Employment(2) Mean wage
Level Location quotient(3) Hourly Annual(4)

Production occupations

21,830 1.3 $15.84 $32,950

First-line supervisors of production and operating workers

1,250 1.1 24.88 51,750

Electrical and electronic equipment assemblers

270 0.7 13.17 27,400

Engine and other machine assemblers

(5) (5) 19.80 41,190

Structural metal fabricators and fitters

140 0.9 18.86 39,230

Team assemblers

4,080 2.2 15.85 32,970

Assemblers and fabricators, all other

170 0.3 12.26 25,510

Bakers

570 1.9 11.59 24,110

Butchers and meat cutters

510 2.0 15.71 32,670

Meat, poultry, and fish cutters and trimmers

80 0.2 12.48 25,950

Slaughterers and meat packers

100 0.7 10.87 22,610

Food batchmakers

350 1.8 10.78 22,420

Food cooking machine operators and tenders

130 2.2 12.03 25,020

Computer-controlled machine tool operators, metal and plastic

500 2.0 14.23 29,610

Computer numerically controlled machine tool programmers, metal and plastic

(5) (5) 22.01 45,770

Extruding and drawing machine setters, operators, and tenders, metal and plastic

450 3.0 17.36 36,100

Forging machine setters, operators, and tenders, metal and plastic

(5) (5) 15.83 32,920

Rolling machine setters, operators, and tenders, metal and plastic

140 2.0 16.46 34,230

Cutting, punching, and press machine setters, operators, and tenders, metal and plastic

510 1.4 15.76 32,790

Drilling and boring machine tool setters, operators, and tenders, metal and plastic

80 1.8 14.10 29,330

Grinding, lapping, polishing, and buffing machine tool setters, operators, and tenders, metal and plastic

(5) (5) 16.63 34,590

Lathe and turning machine tool setters, operators, and tenders, metal and plastic

(5) (5) 19.08 39,690

Machinists

460 0.6 18.96 39,440

Molding, coremaking, and casting machine setters, operators, and tenders, metal and plastic

280 1.2 14.80 30,790

Multiple machine tool setters, operators, and tenders, metal and plastic

50 0.3 16.38 34,070

Tool and die makers

130 1.0 20.33 42,290

Welders, cutters, solderers, and brazers

430 0.7 16.25 33,790

Welding, soldering, and brazing machine setters, operators, and tenders

30 0.4 14.02 29,150

Plating and coating machine setters, operators, and tenders, metal and plastic

140 2.3 18.56 38,600

Prepress technicians and workers

150 1.8 16.92 35,190

Printing press operators

860 2.5 16.29 33,880

Print binding and finishing workers

210 2.0 16.01 33,310

Laundry and dry-cleaning workers

490 1.2 9.49 19,730

Pressers, textile, garment, and related materials

60 0.6 9.56 19,880

Sewing machine operators

250 0.9 11.65 24,220

Textile cutting machine setters, operators, and tenders

(5) (5) 11.07 23,020

Textile knitting and weaving machine setters, operators, and tenders

70 1.7 12.15 25,270

Textile winding, twisting, and drawing out machine setters, operators, and tenders

(5) (5) 12.14 25,250

Upholsterers

60 1.0 12.91 26,850

Cabinetmakers and bench carpenters

80 0.5 15.50 32,230

Sawing machine setters, operators, and tenders, wood

(5) (5) 11.24 23,370

Woodworking machine setters, operators, and tenders, except sawing

70 0.6 15.78 32,830

Stationary engineers and boiler operators

80 1.2 20.14 41,880

Water and wastewater treatment plant and system operators

250 1.1 20.46 42,570

Chemical equipment operators and tenders

190 1.9 14.73 30,640

Crushing, grinding, and polishing machine setters, operators, and tenders

90 1.4 15.43 32,100

Mixing and blending machine setters, operators, and tenders

200 0.9 17.78 36,990

Cutters and trimmers, hand

(5) (5) 12.76 26,530

Cutting and slicing machine setters, operators, and tenders

(5) (5) 13.89 28,890

Extruding, forming, pressing, and compacting machine setters, operators, and tenders

110 0.8 15.34 31,900

Inspectors, testers, sorters, samplers, and weighers

930 1.1 16.43 34,170

Jewelers and precious stone and metal workers

40 1.0 30.05 62,500

Dental laboratory technicians

90 1.2 18.64 38,780

Medical appliance technicians

(5) (5) 17.35 36,100

Ophthalmic laboratory technicians

(5) (5) 13.53 28,140

Packaging and filling machine operators and tenders

1,750 2.5 14.46 30,080

Coating, painting, and spraying machine setters, operators, and tenders

180 1.2 17.62 36,640

Painters, transportation equipment

(5) (5) 18.89 39,300

Painting, coating, and decorating workers

40 1.0 14.86 30,900

Photographic process workers and processing machine operators

(5) (5) 10.29 21,410

Adhesive bonding machine operators and tenders

(5) (5) 15.54 32,310

Cleaning, washing, and metal pickling equipment operators and tenders

70 2.1 17.50 36,410

Molders, shapers, and casters, except metal and plastic

100 1.7 11.94 24,830

Paper goods machine setters, operators, and tenders

(5) (5) 19.06 39,650

Helpers--production workers

1,560 1.9 12.08 25,130

Production workers, all other*

340 0.7 10.86 22,580

*This occupation has the same title, but not necessarily the same content, as the 2010 SOC occupation.

Footnotes:
(1) For a complete listing of all detailed occupations in the Scranton—Wilkes-Barre MSA, see www.bls.gov/oes/current/oes_42540.htm.
(2) Estimates for detailed occupations do not sum to the totals because the totals include occupations not shown separately. Estimates do not include self-employed workers.
(3) The location quotient is the ratio of the area concentration of occupational employment to the national average concentration. A location quotient greater than one indicates the occupation has a higher share of employment than average, and a location quotient less than one indicates the occupation is less prevalent in the area than average.
(4) Annual wages have been calculated by multiplying the hourly mean wage by a ‘year-round, full time’ hours figure of 2,080 hours; for those occupations where there is not an hourly mean wage published, the annual wage has been directly calculated from the reported survey data.
(5) Estimate not released.

 

Last Modified Date: July 31, 2012